Reverse engineering socialbot infiltration strategies in twitter C Freitas, F Benevenuto, S Ghosh… – Proceedings of the 2015 …, 2015 – dl.acm.org … cally posting news or change a template on Wikipedia of all pages in a category [1]. There are companies that develop chatbots for those … content posted by certain types of social bots and humans, and created a tool that incorporated their findings into a machine learning model. … Cited by 21 Related articles All 13 versions

Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations J Hill, WR Ford, IG Farreras – Computers in Human Behavior, 2015 – Elsevier … To our knowledge, however, no research has investigated the linguistic characteristics of a different form of CMC: chatbot communication. Chatbots, or chatterbots, are another widespread domain of CMC. Chatbots are “machine … Cited by 5 Related articles All 7 versions

A chatbot as a Question Answering Tool B AbuShawar, E Atwell – urst.org … which can chat around a specific topic: these techniques involve machine learning from a training corpus of dialogue transcripts, so the resulting chatbot chats in the style of the training corpus [2], [3], [4], [5], [7]. For example, we have a range of different chatbots trained to chat … Related articles

Intelligent Chat Bot for Banking System MA Dole, MH Sansare, MR Harekar, MS Athalye – ijettcs.org … With the improvement of data-mining and machine-learning techniques, better decision-making capabilities, availability of corpora … II. PROPOSED SYSTEM A chat bot for bank system is a computer program designed to simulate an intelligent … Figure 1: Architecture of AI Chatbot … Related articles

Approaches to Measuring the Intelligence of Machines by Quantifying them P Kapoor – ijarcce.com … in the field of machine learning, computer gaming and artificial intelligence), the term„Machine Learning? is defined … making it a test of humanness rather than intelligence.[2] The chatbots have not … For example, if asked “Do you like Microsoft or Apple?” the chatbot would reply, “I … Related articles All 2 versions

A survey of user classification in social networks G Bai, L Liu, B Sun, J Fang – Software Engineering and Service …, 2015 – ieeexplore.ieee.org … In this section, we present the methods based on non-machine learning in user classification … and MengjunXie propose an entropy-based classification method to identify the chat bot in Yahoo … For Chat Bots, there are two respective trigger mechanism, one is based on the time of … Related articles

A Personal Conversational Model LL Murata, AM Istrate – pdfs.semanticscholar.org … In some sense, telling the system information is like machine learning, but it feels like a … Test (GCT) The traditional, well-renowned qualitative metric for testing a chatbot is the … compared the results among three major categories of objects: available chatbots, different classifiers … Related articles All 4 versions

The Winograd Schema Challenge: Evaluating Progress in Commonsense Reasoning. L Morgenstern, C Ortiz – AAAI, 2015 – pdfs.semanticscholar.org … Test, including win- ners of the Loebener competition (Christian 2011) and the chatbot Eugene Goostman … Chatbots get away with evading questions that they can’t answer; such … the type of system- atic progress found in other communities, such as machine learning or textual … Related articles All 3 versions

Noun phrases extraction using shallow parsing with C4. 5 decision tree algorithm for Indonesian Language ontology building J Santoso, HV Gani, EM Yuniarno… – 2015 15th …, 2015 – ieeexplore.ieee.org … Ontology plays an important role in some research in Natural Language Processing, such as chatbot in [1] and question answering in … employ transformation-based algorithm to determine a noun phrase chunk which is described as the pioneer of machine learning approach in … Related articles

Example-based dialog modeling for a mobile system T Cunha – researchgate.net … are the steps followed for the construction of the classifier: Definition of domains, Definition of the features and Definition of the machine learning algorithm. … of this kind of semantic network for the Portuguese language cripple the use of this approach with our Chatbot application. … Related articles

Cognitive science in telemedicine: from psychology to artificial intelligence G Pravettoni, R Folgieri, C Lucchiari – Tele-oncology, 2015 – Springer … artificial intelligence systems such as the artificial neural networks, but also the machine learning algorithms, is … Chatbots are, in this sense, a powerful, easy-to-use and well-known app allowing … The introduction of the chatbot in the application could be the key to experiment new … Cited by 1 Related articles All 3 versions

ELIZA fifty years later: An automatic therapist using bottom-up and top-down approaches R Rzepka, K Araki – Machine Medical Ethics, 2015 – Springer … 4.3 Chatbot for Discovering Abnormalities. … In normal circumstances, machine learning techniques would help to automatically set such a threshold by receiving feedback, but when the user’s health is at stake, this approach can be unethical. 6 Conclusions. … Cited by 2 Related articles All 8 versions

Imitation Technology A Gupta, G Grand – 2015 – gabegrand.com … We found that using machine learning techniques to build caricatures of people or organizations provides … Some of the earliest research in the field of AI concerns chatbots that were … In the early 1960s, MIT computer scientist Joseph Weizenbaum created a chatbot called ELIZA …

An Introduction to Artificial Intelligence in Behavioral and Mental Health Care DD Luxton – Artificial Intelligence in Behavioral and Mental …, 2015 – books.google.com … Machine Learning and Artificial Neural Networks Machine learning (ML) is a core branch of AI that aims to give compu- ters the ability to learn … used in these systems were later adapted for use in the simple precursors of today’s virtual agents, known as “chatbots” or “chatterbots … Related articles

A personal agents hybrid architecture for question answering featuring social dialog M Coronado, CA Iglesias… – Innovations in Intelligent …, 2015 – ieeexplore.ieee.org … We took this approach instead of using a machine learning implementation (eg a Support Vector Machine) because hav- ing ChatScript already in the system made it easier, and the precision in this usecase was of 83 … [6] A. Kerly, P. Hall, and S. Bull, “Bringing chatbots into educa … Related articles

A chatbot service for use in video game development AJ Larsen – 2015 – 146.141.12.21 … The problem with chatbots is that they require a lot of work to develop as can … stock responses of single chatbot to convey different NPC personas. Surveys were … Statistical methods use machine learning techniques with a large set of annotated … Related articles All 2 versions

A proposal for the development of adaptive spoken interfaces to access the Web D Griol, JM Molina, Z Callejas – Neurocomputing, 2015 – Elsevier … Besides spoken and written language have become popular with the incorporation of chatbots for web-based customer support [29 … The most widespread methodology for machine-learning of dialog strategies consists of modeling human–computer interaction as an optimization … Cited by 1 Related articles All 3 versions

Digital Disruption at Work CB Frey, T Berger – Digital Opportunities – digitaliseringskommissionen.se … 17 Above all, Machine Learning allows computers to “learn” without explicit programmed instructions, allowing them to improve over time. … Lastly, strides were being made in replicating human social intelligence last year when a chat bot for the first time passed the ‘Turing test … Related articles

Guide to chat apps T Barot, E Oren – Tow Center for Digital Journalism, 2015 – cjr.org … Other companies like IBM, a pioneer in machine learning that introduced the Watson system, may … Facebook, too, recently launched a beta of a personal chatbot assistant named M, which … that publishers like The Washington Post are already deploying simple chatbots on apps … Cited by 1

Real-Time Topic and Sentiment Analysis in Human-Robot Conversation E Russell – 2015 – epublications.marquette.edu … Due to these restrictions, rule-based reply methods such as those used in chatbots are avoided, as are domain-specific sentiment analysis classifiers and any … utterances using natural language processing and often machine learning techniques [9, 10]. … Related articles All 2 versions

Learning Inference by Induction C Sakama, T Ribeiro, K Inoue – International Conference on Inductive …, 2015 – Springer … An interesting question is whether a machine learning algorithm can discover a new axiomatic system that is semantically equivalent to \(\mathcal{L}\). It … If one develops an AI that learns and understands conversational implicature, it will realize an intelligent chat bot that can …

Library3.0 for Public Library HCY Chan – Journal of Service Science and Management, 2015 – search.proquest.com … This generally involves the application of Machine Learning (ML) techniques, whose goal is learning to categorize new information items based on previously seen information (Lops et al., 2011) [37]. … Chatbots can even interact with users through intelligent conversation. … Cited by 1 Related articles All 8 versions

Davidson’S Test D Davidson’s – 2015 – mrloh.se … Recent winners of the Loebner Prize (AISB 2015), which is awarded to the most human-like chatbot judged by a Turing … Turing’s wrong prediction of the development can be mainly accredited to his underestimation of the required processing power for Machine Learning (1950, p … Related articles

[BOOK] Artificial Superintelligence: A Futuristic Approach RV Yampolskiy – 2015 – books.google.com … 2014 Chatbot convinced 33% of the judges, in a restricted version of a Turing test, that it was human and by doing so passed. From these examples, it is easy to see that not only is progress in AI taking place, but also it is actually accelerating as the technology feeds on itself. … Cited by 9 Related articles All 2 versions

Social talk capabilities for dialogue systems T Klüwer – 2015 – universaar.uni-saarland.de … often realized by integrating a chatbot. However, the integration of a chatbot can only be seen as a quick-and-dirty solution. Chatbots are separate components with nearly no intelligence. The integration of a traditional surface … Cited by 1 Related articles All 3 versions

[BOOK] Calm Technology: Principles and Patterns for Non-intrusive Design A Case – 2015 – books.google.com Page 1. Amber Case Calm NON-INTRUSIVE DESIGN PRINCIPLES AND PATTERNS FOR Technology Page 2. ORELLY Calm Technology How Can you design technology that becomes a “Too often, our part of a user’s life and not a distraction from it? … Cited by 2 All 2 versions

Game AI Appreciation, Revisited M Lewis, K Dill – Game AI Pro 2: Collected Wisdom of Game AI …, 2015 – books.google.com … Much like with machine learning, there is a fundamental tension with the desire for authorial control, but still some signifi- cant potential. … Even widely celebrated “chat bots” in the spirit of ELIZA [Weizenbaum 66] can be confounded or otherwise reveal their artificiality within the … Cited by 2 Related articles

The Android and our Cyborg Selves: What Androids Will Teach us about Being (Post) Human AM Bodley – 2015 – research.libraries.wsu.edu Page 1. THE ANDROID AND OUR CYBORG SELVES: WHAT ANDROIDS WILL TEACH US ABOUT BEING (POST)HUMAN By ANTONIE MARIE BODLEY A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHHY … Related articles All 5 versions

From Seed AI to Technological Singularity via Recursively Self-Improving Software RV Yampolskiy – arXiv preprint arXiv:1502.06512, 2015 – arxiv.org … Metareasoning, metalearning, learning to learn, and lifelong learning are terms which are often used in the machine learning literature to indicate self-modifying learning algorithms or the process of selecting an algorithm which will perform best in a particular problem domain … Related articles All 5 versions

Technological Moral Proxies and the Ethical Limits of Automating Decision-Making In Robotics and Artificial Intelligence J Millar – 2015 – qspace.library.queensu.ca … 10 For those readers who have not interacted with Apple’s Siri, or a similar chatbot or “artificial agent” technology, I would encourage them to do so and notice the ease with which one is compelled to interact conversationally with it despite the often lackluster results of those … Cited by 1 Related articles All 2 versions

Automatic language identification for metadata records: Measuring the effectiveness of various approaches RC Knudson – 2015 – digital.library.unt.edu … They found that a simple naïve Bayes classifier using character and word N-gram features yielded the best performance, with an average accuracy of 87.5% over the six tasks. Automatic language identification is a supervised machine learning algorithm that assigns a text … Related articles All 2 versions